A Novel Method to Evaluate the Privacy Protection in Speaker Anonymization
The technique to hide the real identity of speakers is called speaker anonymization.Aiming at deceiving automatic speaker verification(ASV)systems,speaker anonymization is usually conducted by modifying the temporal or spectral properties of original voices,e.g.,by pitch scaling,by vocal tract length normalization(VTLN)or by voice conversion(VC).However,the real identity of anonymized speech can be recovered with a careful re-training of ASVs,e.g.,data augmentation by anonymizing voices of the same speaker.In order to evaluate the effectiveness of speaker anonymization,a pre-restora-tion method for both enrollment and testing data is proposed,investigated and compared for the de-anony-mization of anonymized voices.Experimental results show that the prerestoration method is effective to speaker deanonymization.Moreover,it is also found that the pre-restoration for testing data performs bet-ter than that for enrollment data.
万方数据
维普
